大洼油田油水层识别方法研究
发布时间:2018-08-26 17:48
【摘要】:自1988年1月在钻洼16井过程中测试获高产工业油流从而发现了大洼油田起,经过几十年不同开发方式连续开采,加之断层发育,各区块动用程度极不均匀,各层位水淹严重,准确识别油水层成为测井工作面临的一个难题。本文首先对大洼油田储层的地质特征、物性特征、油水分布特征、流体性质进行研究并分析影响储层测井响应的地质因素,包括岩性影响、胶结作用的影响、矿物成分的影响、成岩作用的影响。应用大量测井资料,试油资料和岩心分析资料,并对测井资料进行预处理。采用统计的方法研究大洼油田储层四性关系,得出储层矿物成分主要为长石砂岩,次为岩屑长石砂岩及少量的岩屑砂岩;油层以细砂岩为主;含油性以含油、油侵为主。根据储层的四性关系研究可知,储层的岩性越稳定、物性越好,则含油级别也会比较高,并且电性显示也会越好。选取关键井,建立储层参数模型,包括泥质含量模型、孔隙度测井解释模型和渗透率解释模型。优选大洼油田测井曲线,建立油水层定性识别图版。针对大洼油田储层特征,利用三电阻率覆盖法,及地层电阻率、计算的水层电阻率和油层临界电阻率进行覆盖与含水饱和度识别油水层法相结合对大洼油田进行定性和半定量的油水层识别。以三电阻率为主,含水饱和度法为辅主。结合试油资料表明,这两种方法相结合在大洼油田识别油水层上取得了较好的成果。
[Abstract]:Since January 1988, when the high-yield industrial oil flow was obtained in the process of drilling the Wau 16 well, Dawa Oilfield has been discovered. After several decades of continuous production with different development methods and the development of faults, the production degree of each block is extremely uneven, and the water flooding of each layer is serious. Accurate identification of oil and water layers has become a difficult problem in logging work. In this paper, the geological characteristics, physical properties, oil-water distribution and fluid properties of the reservoir in Dawa Oilfield are studied and the geological factors affecting the logging response of the reservoir are analyzed, including lithology, cementation and mineral composition. The effect of diagenesis. A large number of logging data, well test data and core analysis data are used, and log data are preprocessed. The statistical method is used to study the relationship among the four properties of reservoir in Dawa Oilfield. It is concluded that the mineral composition of the reservoir is mainly feldspathic sandstone, followed by lithic feldspathic sandstone and a small amount of lithic sandstone, the reservoir is dominated by fine sandstone, and the oil bearing is mainly oil bearing and oil invasion. According to the study of the four properties of the reservoir, the more stable the lithology and the better the physical property, the higher the oil-bearing level and the better the electrical performance. The key wells are selected to establish reservoir parameter models, including muddy content model, porosity log interpretation model and permeability interpretation model. The logging curve of Dawa Oilfield is selected and the qualitative identification chart of oil and water reservoir is established. According to the reservoir characteristics of Dawa Oilfield, the three resistivity overlay method and the formation resistivity are used. The calculated resistivity of water layer and critical resistivity of reservoir are used to identify oil and water layers with the combination of oil-water layer method and water-bearing saturation method to identify oil and water layers qualitatively and semi-quantitatively in Dawa Oilfield. The three resistivity is the main factor, and the water saturation method is the main one. Combined with the test data, the combination of the two methods has achieved good results in identifying oil and water layers in Dawa Oilfield.
【学位授予单位】:东北石油大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:P618.13
本文编号:2205686
[Abstract]:Since January 1988, when the high-yield industrial oil flow was obtained in the process of drilling the Wau 16 well, Dawa Oilfield has been discovered. After several decades of continuous production with different development methods and the development of faults, the production degree of each block is extremely uneven, and the water flooding of each layer is serious. Accurate identification of oil and water layers has become a difficult problem in logging work. In this paper, the geological characteristics, physical properties, oil-water distribution and fluid properties of the reservoir in Dawa Oilfield are studied and the geological factors affecting the logging response of the reservoir are analyzed, including lithology, cementation and mineral composition. The effect of diagenesis. A large number of logging data, well test data and core analysis data are used, and log data are preprocessed. The statistical method is used to study the relationship among the four properties of reservoir in Dawa Oilfield. It is concluded that the mineral composition of the reservoir is mainly feldspathic sandstone, followed by lithic feldspathic sandstone and a small amount of lithic sandstone, the reservoir is dominated by fine sandstone, and the oil bearing is mainly oil bearing and oil invasion. According to the study of the four properties of the reservoir, the more stable the lithology and the better the physical property, the higher the oil-bearing level and the better the electrical performance. The key wells are selected to establish reservoir parameter models, including muddy content model, porosity log interpretation model and permeability interpretation model. The logging curve of Dawa Oilfield is selected and the qualitative identification chart of oil and water reservoir is established. According to the reservoir characteristics of Dawa Oilfield, the three resistivity overlay method and the formation resistivity are used. The calculated resistivity of water layer and critical resistivity of reservoir are used to identify oil and water layers with the combination of oil-water layer method and water-bearing saturation method to identify oil and water layers qualitatively and semi-quantitatively in Dawa Oilfield. The three resistivity is the main factor, and the water saturation method is the main one. Combined with the test data, the combination of the two methods has achieved good results in identifying oil and water layers in Dawa Oilfield.
【学位授予单位】:东北石油大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:P618.13
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